Sumit Diware - RankMe

16 papers A* 1A 3C 3Journal 3Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Adaptive Multi-Threshold Encoding for Energy-Efficient ECG Classification Architecture Using Spiking Neural Network. DATE Sumit Diware, Yingzhou Dong, Mohammad Amin Yaldagard, Said Hamdioui, Rajendra Bishnoi
2025	A	`conf`	Continuous On-Chip Learning in Neural Networks using SOT-MRAM based CIM Architectures. ICCAD Anubha Sehgal, Sandeep Soni, Sumit Diware, Alok Kumar Shukla, Sourajeet Roy, Rajendra Bishnoi
2025	A*	`conf`	Enhancing Parallelism and Energy-Efficiency in SOT-MRAM based CIM Architecture for On-Chip Learning. DAC Anubha Sehgal, Alok Kumar Shukla, Sumit Diware, Sandeep Soni, Seema Dhull, Sonal Shreya, Sourajeet Roy, Rajendra Bishnoi
2024	—	`conf`	Dynamic Detection and Mitigation of Read-disturb for Accurate Memristor-based Neural Networks. AICAS Sumit Diware, Mohammad Amin Yaldagard, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi
2024	A	`conf`	Hardware-Aware Quantization for Accurate Memristor-Based Neural Networks. ICCAD Sumit Diware, Mohammad Amin Yaldagard, Rajendra Bishnoi
2024	J	`jnl`	Reliable and Energy-Efficient Diabetic Retinopathy Screening Using Memristor-Based Neural Networks. IEEE Access Sumit Diware, Koteswararao Chilakala, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi
2023	—	`conf`	A 115.1 TOPS/W, 12.1 TOPS/mm AICAS Abhairaj Singh, Rajendra Bishnoi, Ali Kaichouhi, Sumit Diware, Rajiv V. Joshi, Said Hamdioui
2023	J	`jnl`	Accurate and Energy-Efficient Bit-Slicing for RRAM-Based Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. Sumit Diware, Abhairaj Singh, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi
2023	—	`conf`	Energy-efficient Computation-In-Memory Architecture using Emerging Technologies. ICM Rajendra Bishnoi, Sumit Diware, Anteneh Gebregiorgis, Simon Thomann, Sara Mannaa, Bastien Deveautour, Cédric Marchand, Alberto Bosio, Damien Deleruyelle, Ian O'Connor, Hussam Amrouch, Said Hamdioui
2023	—	`conf`	Mapping-aware Biased Training for Accurate Memristor-based Neural Networks. AICAS Sumit Diware, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi
2023	C	`conf`	On the Reliability of RRAM-Based Neural Networks. VLSI-SoC Hassen Aziza, Cristian Zambelli, Said Hamdioui, Sumit Diware, Rajendra Bishnoi, Anteneh Gebregiorgis
2023	—	`conf`	Read-disturb Detection Methodology for RRAM-based Computation-in-Memory Architecture. AICAS Mohammad Amin Yaldagard, Sumit Diware, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi
2023	J	`jnl`	Severity-Based Hierarchical ECG Classification Using Neural Networks. IEEE Trans. Biomed. Circuits Syst. Sumit Diware, Sudeshna Dash, Anteneh Gebregiorgis, Rajiv V. Joshi, Christos Strydis, Said Hamdioui, Rajendra Bishnoi
2022	C	`conf`	Dealing with Non-Idealities in Memristor Based Computation-In-Memory Designs. VLSI-SoC Anteneh Gebregiorgis, Abhairaj Singh, Sumit Diware, Rajendra Bishnoi, Said Hamdioui
2021	C	`conf`	Low-Power Memristor-Based Computing for Edge-AI Applications. ISCAS Abhairaj Singh, Sumit Diware, Anteneh Gebregiorgis, Rajendra Bishnoi, Francky Catthoor, Rajiv V. Joshi, Said Hamdioui
2021	—	`conf`	Unbalanced Bit-slicing Scheme for Accurate Memristor-based Neural Network Architecture. AICAS Sumit Diware, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi